Determination of Observation Weight to Calibrate Freeway Traffic Fundamental Diagram Using Weighted Least Square Method (WLSM)

Promet (Zagreb)

Chunbo Zhang¹  Xiucheng Guo¹  Zhenping Xi¹ 

[1] School of Transportation, Southeast University;

关键词: fundamental diagram;    Weighted Least Square Method;    observation weight;    speed-density relationship;   

DOI  :  10.7307/ptt.v29i2.2088

来源: DOAJ

【 摘 要 】

Due to unbalanced speed-density observations, the one-regime traffic fundamental diagram and speed-density relationship models using least square method (LSM) cannot reflect actual conditions under congested/jam traffic. In that case, it is inevitable to adopt the weighted least square method (WLSM). This paper used freeway Georgia State Route 400 observation data and proposed 5 weight determination methods except the LSM to analyse 5 wellknown one-regime speed-density models to determine the best calibrating models. The results indicated that different one-regime speed-density models have different best calibrating models, for Greenberg, it was possible to find a specific weight using LSM, which is similar for Underwood and Northwestern Models, but different for that one known as 3PL model. An interesting case is the Newell's Model which fits well with two distinct calibration weights. This paper can make contribution to calibrating a more precise traffic fundamental diagram.

【 授权许可】

Unknown